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University of Oxford (Research Institution)University of Oxford (Research Institution)
RESEARCHUniversity of Oxford (Research Institution)2026-03-20

Oxford Physicist Proposes Theory That Could Limit Quantum Computing Power and Reduce Encryption Threat

Key Takeaways

  • ▸Tim Palmer proposes "Rational Quantum Mechanics," which suggests quantum computers have a practical limit around 1,000 qubits, below the threshold needed to break RSA encryption
  • ▸The theory reframes the Hilbert space as discrete rather than continuous, changing quantum information scaling from exponential to linear growth
  • ▸Palmer claims the theory could be experimentally tested within five years using existing quantum technology
Source:
Hacker Newshttps://gizmodo.com/quantum-computers-will-tap-out-before-breaking-encryption-theory-claims-2000735809↗

Summary

A new theoretical framework called "Rational Quantum Mechanics," proposed by Oxford physicist Tim Palmer in a paper published in the Proceedings of the National Academy of Sciences, suggests that quantum computers may have fundamental limitations that have been overlooked. The theory proposes that the Hilbert space used in quantum calculations should be viewed as discrete rather than continuous, which would mean quantum information scales linearly rather than exponentially with the number of qubits. If validated, this would place an upper bound on quantum computing capacity at approximately 1,000 qubits—far below the estimated 4,099 qubits needed to break current RSA encryption systems. Palmer's proposal challenges a foundational assumption in quantum mechanics and could significantly dampen concerns about quantum computers threatening modern cryptography.

  • If correct, this would fundamentally challenge widespread assumptions about quantum computing's exponential advantages and encryption threats

Editorial Opinion

Palmer's theory presents an intellectually bold challenge to quantum computing orthodoxy, but it comes with significant caveats. While quantum mechanics is indeed one of science's most successful frameworks, incremental refinements to foundational mathematics are not unprecedented—the proposal warrants serious peer review and experimental validation. The five-year timeline for testing is encouraging, as empirical evidence will be crucial in determining whether this represents a genuine breakthrough or an intriguing but ultimately incorrect theoretical detour.

Machine LearningAI HardwareCybersecurity

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